Agent/examples/auto_put_ad/run.py

"""
自动化投放 Agent 系统 — 主入口

运行方式：
    cd /Users/liulidong/project/agent/Agent
    python examples/auto_put_ad/run.py
"""

import asyncio
import os
import sys
from pathlib import Path

# 如需代理，取消注释：
# os.environ.setdefault("HTTP_PROXY", "http://127.0.0.1:29758")
# os.environ.setdefault("HTTPS_PROXY", "http://127.0.0.1:29758")

# 添加项目根目录到 Python 路径
sys.path.insert(0, str(Path(__file__).parent.parent.parent))

from dotenv import load_dotenv
load_dotenv()

from agent.core.runner import AgentRunner
from agent.trace import FileSystemTraceStore, Trace, Message
from agent.llm import create_openrouter_llm_call
from agent.utils import setup_logging

# 导入配置（使用绝对路径导入）
from examples.auto_put_ad.config import MAIN_CONFIG, SKILLS_DIR, TRACE_STORE_PATH, LOG_LEVEL, LOG_FILE

# 导入自定义工具（触发 @tool 注册）
from examples.auto_put_ad.tools.ad_api import (
    account_get_info, ad_batch_update_status, ad_create, ad_get_list,
    ad_get_report, ad_update, asset_get_list, audience_get_list,
    creative_create, creative_get_report, creative_update,
)
from examples.auto_put_ad.tools.audience_tools import (
    audience_build_targeting, audience_recommend_targeting,
)
from examples.auto_put_ad.tools.budget_calc import (
    get_ad_performance, get_account_summary,
    compute_budget_thresholds, classify_ads, compute_bid_adjustment,
    bid_adjustment_execute,
)
from examples.auto_put_ad.tools.strategy_config import (
    load_strategy_config, update_strategy_config, get_config_history,
)
from examples.auto_put_ad.tools.data_query import (
    data_aggregate, data_query, get_ad_current_status,
)
from examples.auto_put_ad.tools.monitor_tools import (
    monitor_check_metrics, monitor_circuit_break,
)


async def init_project_env(messages=None):
    """供 api_server 可视化调用：返回 (runner, messages, config)"""
    base_dir = Path(__file__).parent

    # 读取 main.prompt
    main_prompt_path = base_dir / "prompts" / "main.prompt"
    system_prompt = ""
    if main_prompt_path.exists():
        system_prompt = main_prompt_path.read_text(encoding="utf-8")

    store = FileSystemTraceStore(base_path=TRACE_STORE_PATH)
    runner = AgentRunner(
        trace_store=store,
        llm_call=create_openrouter_llm_call(model=MAIN_CONFIG.model),
        skills_dir=SKILLS_DIR if Path(SKILLS_DIR).exists() else None,
        presets_path=base_dir / "presets.json",  # 启用多 Agent 预设
        logger_name="agents.auto_put_ad",
    )

    config = MAIN_CONFIG
    if system_prompt:
        config.system_prompt = system_prompt

    # 如果前端没传 messages，给个默认的
    if not messages:
        messages = [{"role": "user", "content": "今天小程序预算10w"}]

    return runner, messages, config


async def main():
    """主函数"""
    base_dir = Path(__file__).parent

    # 初始化日志
    setup_logging(level=LOG_LEVEL, file=LOG_FILE)

    # 读取 main.prompt
    main_prompt_path = base_dir / "prompts" / "main.prompt"
    system_prompt = ""
    if main_prompt_path.exists():
        system_prompt = main_prompt_path.read_text(encoding="utf-8")

    # 创建 Runner（启用多 Agent）
    store = FileSystemTraceStore(base_path=TRACE_STORE_PATH)
    runner = AgentRunner(
        trace_store=store,
        llm_call=create_openrouter_llm_call(model=MAIN_CONFIG.model),
        skills_dir=SKILLS_DIR if Path(SKILLS_DIR).exists() else None,
        presets_path=base_dir / "presets.json",  # 启用多 Agent 预设
        logger_name="agents.auto_put_ad",
    )

    # 如果有 system_prompt，注入到 config
    config = MAIN_CONFIG
    if system_prompt:
        config.system_prompt = system_prompt

    print("=" * 60)
    print("  自动化投放 Agent 系统已启动")
    print("=" * 60)
    print("请输入投放任务（输入 'exit' 退出）：")
    print("示例：")
    print("  - 今天小程序预算10w")
    print("  - 分析账户昨日投放效果，优化预算分配")
    print("  - 查询账户余额和今日消耗")
    print()

    while True:
        try:
            user_input = input("\n> ").strip()
            if not user_input:
                continue
            if user_input.lower() in ("exit", "quit", "q"):
                print("退出系统")
                break

            # 构建消息
            messages = [{"role": "user", "content": user_input}]

            # 每次对话用新的 trace
            config.trace_id = None

            print(f"\n🚀 执行任务: {user_input}\n")

            # 执行 Agent
            async for item in runner.run(messages=messages, config=config):
                if isinstance(item, Trace):
                    print(f"[Trace] 状态: {item.status}")
                elif isinstance(item, Message):
                    if item.role == "assistant" and item.content:
                        content = item.content
                        if isinstance(content, dict):
                            text = content.get("text", "")
                        else:
                            text = content
                        if text and text.strip():
                            print(f"\n💭 {text}\n")
                    elif item.role == "tool" and item.content:
                        content = item.content
                        if isinstance(content, str):
                            text = content
                        elif isinstance(content, dict):
                            text = content.get("text", str(content))
                        else:
                            text = str(content)
                        # 只打印前 500 字符避免刷屏
                        if len(text) > 500:
                            text = text[:500] + "..."
                        print(f"  [Tool] {text}")

            print("\n" + "=" * 60)
            print("✅ 任务完成")
            print("=" * 60)

        except KeyboardInterrupt:
            print("\n用户中断，退出系统")
            break
        except Exception as e:
            print(f"\n❌ 执行失败: {e}")
            import traceback
            traceback.print_exc()


if __name__ == "__main__":
    asyncio.run(main())